Подобни пакети:

specificity control for read alignments using an artificial reference

ARDEN (Artificial Reference Driven Estimation of false positives in NGS
data) is a novel benchmark that estimates error rates based on real
experimental reads and an additionally generated artificial reference
genome. It allows the computation of error rates specifically for a
dataset and the construction of a ROC-curve. Thereby, it can be used to
optimize parameters for read mappers, to select read mappers for a
specific problem or also to filter alignments based on quality
estimation.